Background and Objectives: The imminent threat of antibiotic resistance has spurred studies of nonconventional antimicrobial approaches. Gallium utilization is a promising and emerging approach to treating a variety of resistant bacteria using “Trojan horse” strategies to disrupt iron-dependent processes and biofilms. This study utilized experimental evolution to test the evolvability of gallium resistance in Staphylococcus aureus and resistance traits potentially correlated with metals, antibiotics and polyfluorinated compounds, as well as its genomics foundations. Methods: Whole-genome sequencing was utilized to reveal functional networks of mutations associated with gallium resistance. Additionally, scanning electron microscopy (SEM) observation was utilized to visualize distinct morphological changes on the surface of gallium-resistant populations and compare with the control populations. Results: As demonstrated by these studies, S. aureus evolved resistance to gallium after 20 days of selection. Furthermore, these populations displayed resistance traits correlated with heavy metals and polyfluorinated compounds. In contrast, the gallium-resistant populations were very sensitive to antibiotics. Whole-genome analysis revealed significant polymorphisms in the gallium (III)-resistant populations for example, polymorphisms in staphyloferrinA export MFS transporter/D ornithine citrate ligase (sfaA/sfaD), teichoic acid D Ala esterase (fmtA), DUF3169 family protein (KQ76_RS01520) and adenine phosphoribosyltransferase (KQ76_RS08360), while polymorphisms in the ABC transporter permease subunit (pstC) and acyltransferase family protein (KQ76_RS04365) were unique to the control populations. The polymorphisms directly affected the cells’ morphology. SEM images showed significant external ultrastructural changes in the gallium-selected bacterial cells compared to the control cells. Conclusions: Our study confirmed that using gallium as an antimicrobial can have significant health and environmental implications.

Background/Objective: The rise of multidrug-resistant bacteria underscores the urgent need for alternative antimicrobial strategies. Metal-based compounds and bacteriophage (phage) therapy have emerged as promising candidates, but the evolutionary trade-offs associated with these selective pressures and their combination remain poorly understood. This study aimed to investigate how prior exposure to T4 phage influences Escherichia coli B’s subsequent adaptation to iron (III) stress and to assess the resulting phenotypic and genomic signatures of dual resistance. Method: In this study, we performed experimental evolution using Escherichia coli B to investigate adaptive responses under four conditions: control (LB broth), T4 phage-only, iron (III) sulfate-only, and sequential phage followed by iron (III) exposure. Each treatment consisted of ten independently evolved populations (biological replicates), all derived from a common ancestral strain and passaged daily for 35 days. Phage resistance evolved rapidly, with complete resistance observed within 24 h of exposure. Results: In contrast, iron-selected populations evolved tolerance to high iron concentrations (1000–1750 mg/L) over time at a cost to resistance in other metals (gallium and iron (II) and antibiotics (tetracycline). Notably, prior phage exposure altered these outcomes: phage/iron-selected populations retained phage resistance and iron tolerance but showed diminished resistance to iron (II) and distinct antibiotic sensitivity profiles. Whole-genome sequencing revealed stressor-specific adaptations: large deletions in phage receptor-related genes (waaA and waaG) under phage pressure, and selective sweeps in iron-adapted populations affecting regulatory and membrane-associated genes (qseB, basR, aroK, fieF, rseB, and cpxP). Conclusions: These results demonstrate that the sequence of environmental stressors significantly shapes phenotypic and genetic resistance outcomes. Our findings highlight the importance of fitness epistasis and historical contingency in microbial adaptation, with implications for the design of evolution-informed combination therapies.

The misuse of antibiotics is causing widespread antibiotic resistance, creating an urgent need for new treatment options such as nanoparticle-based therapies. This study aimed to compare silver nanoparticles (AgNPs) produced via green synthesis methods with those made through traditional chemical processes. Furthermore, the study investigated and contrasted the bacterial responses to these two types of AgNPs over a 21-day period of selection pressure using experimental evolution techniques. Analysis using scanning electron microscopy and transmission electron microscopy revealed a consistent, uniform morphology among the AgNPs produced via chemical methods. In contrast, AgNPs synthesized through green methods displayed an irregular morphology. Despite these morphological differences, all nanoparticles from both synthesis approaches were under 100 nm in diameter. These findings were further supported by the absorption spectrum data, which showed a maximum absorption peak between the 400 and 500 nm wavelength range. E. coli exposed to green synthesized AgNPs for 21 days adapted to their presence, exhibiting both enhanced resistance to the green synthesized AgNPs themselves and the development of cross-resistance to ionic silver, a pattern not observed in chemically synthesized AgNP-selected populations. Populations selected using chemical synthesized AgNPs did not develop increased resistance to either chemically or green synthesized AgNPs; however, they showed a slight increase in resistance to ionic silver. Genomics analysis identified polymorphism in genes in a green synthesized AgNP-resistant line including but not limited to the multidrug efflux transporter system (EmrAB), DUF4756 family protein (D1792_RS05680), putative zinc-binding protein YnfU/cold shock-like protein (ynfU/cspB) and imcF-related family protein (D1792_RS10035). Bacterial resistance to chemical AgNPs involves specific polymorphisms in key bacterial components like the RNA polymerase sigma factor (RpoE) and the EmrAB efflux pump. Collectively, the method used to synthesize the AgNPs influences their antibacterial efficacy and the likelihood of bacteria developing resistance. Understanding this interaction is vital for developing effective and resistance-controlled applications of AgNPs across medicine, environmental science, and industry.

Antimicrobial resistance (AMR) represents a critical global health challenge in the 21st century, with drug-resistant infections accounting for approximately 4.95 million deaths annually; moreover, forecasts suggest a significant increase in this toll by 2050. Traditional approaches to antibiotic development have demonstrated an inability to keep pace with bacterial evolution. Consequently, there has been a resurgence of scientific interest in alternative therapeutic strategies, specifically bacteriophage therapy and metal-based antimicrobials. This narrative review examines the molecular processes that help bacteria evolve resistance to both phages and metals, a topic often studied separately. It encompasses receptor modification, CRISPR–Cas adaptive immunity, abortive infection systems, efflux pump evolution, the rewiring of regulatory networks, and also examines the impact of dual selection on these mechanisms. We investigate the complex, combined evolutionary effects of exposure to phages and metals, both simultaneously and sequentially. This includes mutations that confer resistance to multiple stressors, the co-selection of resistance traits associated with mobile genetic elements, and the transfer of metal resistance genes between bacteria via phages. The outer membrane, metal transport systems, and efflux pumps are key cellular areas where phages and metals create overlapping and interacting selective pressures. Direct experimental evidence for combined phage–metal selection remains scarce, and we therefore distinguish throughout between direct phage–metal evidence, evidence transferred from phage–antibiotic and metal–antibiotic systems, and mechanistic hypotheses that remain to be tested. Understanding these complex evolutionary dynamics is essential for formulating combination therapeutic approaches that reduce the emergence of resistance, improve antimicrobial effectiveness, and address the growing challenge of multidrug-resistant pathogens in both clinical and environmental settings.

The antimicrobial resistance crisis has led to the use of metals and bacteriophages as possible alternatives to antibiotics. Experimental studies have examined interactions between ionic/nano-silver and bacteriophages against multidrug-resistant bacteria. However, these approaches have often failed to examine whether silver affects the stability and infectivity of bacteriophages. Here, we utilized experimental evolution to evolve resistance to ionic silver in bacteriophage T7. High ionic silver concentrations that do not represent physiological exposure conditions were used to impose strong selective pressure. Evolution of ionic silver resistance in phage T7 was rapid, as evidenced by recovery of bacteriophage growth in E. coli following repeated exposures to ionic silver, enhanced infectivity of silver-selected populations relative to parallel control and ancestral populations under increasing ionic silver concentrations, and greater suppression of E. coli growth in standard medium. Furthermore, silver resistance evolved without loss of thermal or pH stability under the conditions tested. The genomic foundation of silver resistance was relatively simple, with positive and negative natural selection differentiating the silver-selected populations from the controls and ancestral populations across serial passages in silver. Support for replication-associated adaptation under ionic silver selection may be reflected in recurrent mutations identified in genes involved in transcription, DNA replication, and genome maintenance, including T7p07 (RNA polymerase), T7p10 (DNA ligase), and T7p29 (DNA polymerase I). These findings highlight the importance of evaluating phage –silver combination strategies within an evolutionary framework that accounts for the adaptive capacity of bacteriophages under silver selection.

Background/Objectives: Antimicrobial resistance (AMR) and virulence represent co-evolving dimensions of microbial pathogenic potential whose ecological organization in building-scale wastewater systems remains poorly understood. Methods: Using shotgun metagenomic sequencing, we characterized the temporal dynamics and ecological associations of antimicrobial resistance genes (ARGs) and virulence factors (VFs) in 12 wastewater grab samples (2 per semester) collected from a university residence hall designated for COVID-19 quarantine between 2021 and 2023. Results: The wastewater microbiome was anchored by a stable core of gut-associated anaerobic bacteria, with community composition exhibiting significant Spring-versus-Fall structuring and a year × semester interaction that explained 60% of the community variation. A marked shift toward opportunistic taxa, particularly Acinetobacter, during Fall 2023 represented the most pronounced temporal perturbation. Total ARG abundance remained stable across semesters, while resistome composition shifted significantly, indicating that temporal dynamics were driven by compositional turnover rather than changes in overall resistance burden. VF functional categories were broadly conserved across sampling periods, consistent with their structural embedding within the persistent fecal core microbiome. Correlation and network analyses revealed modular ecological coupling between resistance and virulence functional categories, with metal/co-resistance and fosfomycin classes showing the strongest associations with virulence functions. At the community level, a Benjamini–Hochberg–corrected co-occurrence network resolved into taxa-anchored resistance modules and separate virulence-function clusters, with Acinetobacter and fluoroquinolone resistance as the principal connectors. Conclusions: These findings indicate that building-scale wastewater metagenomics can capture ecologically structured functional gene dynamics, highlighting its potential as a surveillance tool for monitoring AMR and virulence in built environments.